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title: "NeurIPS 2025 — all accepted papers, page 49 — Elamur Research"
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# NeurIPS 2025: all accepted papers

5,819 papers · page 49 of 59 · the most cited first · [← NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

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4801. **[Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning ↗](https://doi.org/10.52202/085713-4288)**Haochen Zhang, Zhong Yi Zheng, Lingzhou Xue
4802. **[ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning ↗](https://doi.org/10.52202/085713-3547)**Tonghe Zhang, Chao Yu, Sichang Su et al.
4803. **[Reinforced Context Order Recovery for Adaptive Reasoning and Planning ↗](https://doi.org/10.52202/085713-3558)**Long Ma, Fangwei Zhong, Yizhou Wang
4804. **[Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation ↗](https://doi.org/10.52202/085713-3616)**Yifu Luo, Xinhao Hu, Keyu Fan et al.
4805. **[Reinforcement Learning Teachers of Test Time Scaling ↗](https://doi.org/10.52202/085713-3586)**Edoardo Cetin, Tianyu Zhao, Yujin Tang
4806. **[Reinforcement Learning with Backtracking Feedback ↗](https://doi.org/10.52202/085713-3649)**Bilgehan Sel, Vaishakh Keshava, Phillip Wallis et al.
4807. **[Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach ↗](https://doi.org/10.52202/085713-3420)**Chenbei Lu, Zaiwei Chen, Tongxin Li et al.
4808. **[Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward ↗](https://doi.org/10.52202/085713-5002)**Xumai Qi, Dongdong Zhang, Taotao Liu et al.
4809. **[Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models ↗](https://doi.org/10.52202/085713-5105)**Zemin Huang, Zhiyang Chen, Zijun Wang et al.
4810. **[Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering ↗](https://doi.org/10.52202/085713-2431)**Clément Yvernes, Émilie Devijver, Adèle H. Ribeiro et al.
4811. **[Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance ↗](https://doi.org/10.52202/085713-3713)**Qiang Zhang, Fanrui Zhang, Jiawei Liu et al.
4812. **[Reliably detecting model failures in deployment without labels ↗](https://doi.org/10.52202/085713-0269)**Viet Nguyen, Changjian Shui, Vijay Giri et al.
4813. **[Relieving the Over-Aggregating Effect in Graph Transformers ↗](https://doi.org/10.52202/085713-0232)**Junshu Sun, Wanxing Chang, Chenxue Yang et al.
4814. **[Remarkable Robustness of LLMs: Stages of Inference? ↗](https://doi.org/10.52202/085713-4332)**Vedang Lad, Jin Hwa Lee, Wes Gurnee et al.
4815. **[Removing Concepts from Text-to-Image Models with Only Negative Samples ↗](https://doi.org/10.52202/085713-5182)**Hanwen Liu, Yadong Mu
4816. **[RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models ↗](https://doi.org/10.52202/085713-1494)**Chenxu Niu, Jie Zhang, Yanbing Liu et al.
4817. **[RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation ↗](https://doi.org/10.52202/085713-2049)**Boyuan Cao, Jiaxin Ye, Yujie Wei et al.
4818. **[Reparameterized LLM Training via Orthogonal Equivalence Transformation ↗](https://doi.org/10.52202/085713-4704)**Zeju Qiu, Simon Buchholz, Tim Xiao et al.
4819. **[ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization ↗](https://doi.org/10.52202/085713-0655)**Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip et al.
4820. **[Replicable Distribution Testing ↗](https://doi.org/10.52202/085713-0613)**Ilias Diakonikolas, Jingyi Gao, Daniel M. Kane et al.
4821. **[Replicable Online pricing ↗](https://doi.org/10.52202/085713-1809)**Kiarash Banihashem, MohammadHossein Bateni, Hossein Esfandiari et al.
4822. **[RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving ↗](https://doi.org/10.52202/085713-3548)**Huacan Wang, Ziyi Ni, Shuo Zhang et al.
4823. **[Representation Consistency for Accurate and Coherent LLM Answer Aggregation ↗](https://doi.org/10.52202/085713-1718)**Junqi Jiang, Tom Bewley, Salim I. Amoukou et al.
4824. **[Representational Difference Explanations ↗](https://doi.org/10.52202/085713-2402)**Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
4825. **[Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis ↗](https://doi.org/10.52202/085713-2347)**Alistair P. Shilton, Sunil Gupta, Santu Rana et al.
4826. **[Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design ↗](https://doi.org/10.52202/085713-0009)**Nianzu Yang, Songlin Jiang, Jian Ma et al.
4827. **[Rescaled Influence Functions: Accurate Data Attribution in High Dimension ↗](https://doi.org/10.52202/085713-5047)**Ittai Rubinstein, Samuel B. Hopkins
4828. **[Residual Stream Analysis of Overfitting And Structural Disruptions ↗](https://doi.org/10.52202/085713-1676)**Quan Liu, Han Zhou, Wenquan Wu et al.
4829. **[Resolution of Simpson's paradox via the common cause principle ↗](https://doi.org/10.52202/085713-1493)**A. A. Hovhannisyan, ARMEN E. ALLAHVERDYAN
4830. **[Resounding Acoustic Fields with Reciprocity ↗](https://doi.org/10.52202/085713-2917)**Zhijun Lan, Yiduo Hao, Mingmin Zhao
4831. **[RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation ↗](https://doi.org/10.52202/085713-1417)**Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais et al.
4832. **[ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning ↗](https://doi.org/10.52202/085713-0548)**Timo Kaufmann, Yannick Metz, Daniel A. Keim et al.
4833. **[Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video ↗](https://doi.org/10.52202/085713-3027)**Jixuan He, Chieh Lin, Lu Qi et al.
4834. **[Restoring Pruned Large Language Models via Lost Component Compensation ↗](https://doi.org/10.52202/085713-0225)**Zijian Feng, Hanzhang Zhou, Zixiao Zhu et al.
4835. **[Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification ↗](https://doi.org/10.52202/085713-5423)**Jingyuan Zhang, Xin Wang, Lei Yu et al.
4836. **[Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions ↗](https://doi.org/10.52202/085713-3508)**Jhanvi Garg, Krishnakumar Balasubramanian, Quan Zhou
4837. **[Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality ↗](https://doi.org/10.52202/085713-1570)**M.K. Park, Heeji Won, Won Woo Ro et al.
4838. **[Rethinking Fair Federated Learning from Parameter and Client View ↗](https://doi.org/10.52202/085713-0630)**Kaiqi Guan, Wenke Huang, Xianda Guo et al.
4839. **[Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning ↗](https://doi.org/10.52202/085713-5304)**Feng Chen, Allan Raventós, Nan Cheng et al.
4840. **[Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator ↗](https://doi.org/10.52202/085713-0991)**Shuchang Zhang, Yaoyun Zeng, Kangkang Deng et al.
4841. **[Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation ↗](https://doi.org/10.52202/085713-5061)**Wei Wang, Haifeng Xia, Chao Huang et al.
4842. **[Rethinking Losses for Diffusion Bridge Samplers ↗](https://doi.org/10.52202/085713-3622)**Sebastian Sanokowski, Lukas Gruber, Christoph Bartmann et al.
4843. **[Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling ↗](https://doi.org/10.52202/085713-2964)**Hao Chen, Guorong Lu, Yasuyuki Okoshi et al.
4844. **[Rethinking PCA Through Duality ↗](https://doi.org/10.52202/085713-1745)**Jan Quan, Johan A. K. Suykens, Panagiotis Patrinos
4845. **[Rethinking Residual Distribution in Locate-then-Edit Model Editing ↗](https://doi.org/10.52202/085713-2624)**Xiaopeng Li, Shangwen Wang, Shasha Li et al.
4846. **[Rethinking Tokenized Graph Transformers for Node Classification ↗](https://doi.org/10.52202/085713-4495)**Jinsong Chen, Chenyang Li, Gaichao Li et al.
4847. **[Rethinking Verification for LLM Code Generation: From Generation to Testing ↗](https://doi.org/10.52202/085713-4591)**Zihan Ma, Taolin Zhang, Maosong Cao et al.
4848. **[Rethinking the Role of Verbatim Memorization in LLM Privacy ↗](https://doi.org/10.52202/085713-4760)**Tom Sander, Bargav Jayaraman, Mark Ibrahim et al.
4849. **[Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models ↗](https://doi.org/10.52202/085713-2416)**Wentse Chen, Jiayu Chen, Fahim Tajwar et al.
4850. **[Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs ↗](https://doi.org/10.52202/085713-4416)**Mianchu Wang, Giovanni Montana
4851. **[Revealing Multimodal Causality with Large Language Models ↗](https://doi.org/10.52202/085713-3395)**Jin Li, Shoujin Wang, Qi Zhang et al.
4852. **[Reverse Diffusion Sequential Monte Carlo Samplers ↗](https://doi.org/10.52202/085713-2336)**Luhuan Wu, Yi Han, Christian A. Naesseth et al.
4853. **[Reverse Engineering Human Preferences with Reinforcement Learning ↗](https://doi.org/10.52202/085713-3388)**Lisa Alazraki, Tan Yi-Chern, Jon Ander Campos et al.
4854. **[Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design ↗](https://doi.org/10.52202/085713-2176)**Jake Callahan, Andrew Chin, Jason Pacheco et al.
4855. **[Revising and Falsifying Sparse Autoencoder Feature Explanations ↗](https://doi.org/10.52202/085713-2122)**George Ma, Samuel Pfrommer, Somayeh Sojoudi
4856. **[Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency ↗](https://doi.org/10.52202/085713-0236)**Kenta Niwa, Yuki Takezawa, Guoqiang Zhang et al.
4857. **[Revisiting Agnostic Boosting ↗](https://doi.org/10.52202/085713-4698)**Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice et al.
4858. **[Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity ↗](https://doi.org/10.52202/085713-1959)**Kumar Kshitij Patel, Ali Zindari, Sebastian U. Stich et al.
4859. **[Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems ↗](https://doi.org/10.52202/085713-2804)**Jongyeong Lee, Junya Honda, Shinji Ito et al.
4860. **[Revisiting Frank-Wolfe for Structured Nonconvex Optimization ↗](https://doi.org/10.52202/085713-1455)**Hoomaan Maskan, Yikun Hou, Suvrit Sra et al.
4861. **[Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective ↗](https://doi.org/10.52202/085713-2194)**Yang Zhang, Xinran Li, Jianing Ye et al.
4862. **[Revisiting Orbital Minimization Method for Neural Operator Decomposition ↗](https://doi.org/10.52202/085713-3822)**Jongha Jon Ryu, Samuel Zhou, Gregory W. Wornell
4863. **[Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective ↗](https://doi.org/10.52202/085713-4479)**Jorge (Zhoujun) Cheng, Shibo Hao, Tianyang Liu et al.
4864. **[Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks ↗](https://doi.org/10.52202/085713-2409)**Giyeong Oh, Woohyun Cho, Siyeol Kim et al.
4865. **[Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening ↗](https://doi.org/10.52202/085713-0425)**Jiawei Gu, Ziyue Qiao, Xinming Li et al.
4866. **[Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models ↗](https://doi.org/10.52202/085713-2484)**Chenrui Cao, Liangcheng Song, Zhongyu Li et al.
4867. **[Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN ↗](https://doi.org/10.52202/085713-0559)**Jiaxin Wu, Chenglong Pang, Guangxiong Chen et al.
4868. **[Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models ↗](https://doi.org/10.52202/085713-0347)**Haidong Kang, Lihong Lin, Hanling Wang
4869. **[Reward-Aware Proto-Representations in Reinforcement Learning ↗](https://doi.org/10.52202/085713-1969)**Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado
4870. **[Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation ↗](https://doi.org/10.52202/085713-5558)**Yihong Luo, Tianyang Hu, Weijian Luo et al.
4871. **[Reward-oriented Causal Representation Learning ↗](https://doi.org/10.52202/085713-1381)**Zirui Yan, Emre Acartürk, Ali Tajer
4872. **[RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents ↗](https://doi.org/10.52202/085713-0286)**Jingyi Yang, Shuai Shao, Dongrui Liu et al.
4873. **[RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching ↗](https://doi.org/10.52202/085713-2348)**Runze Ma, Zhongyue Zhang, Zichen Wang et al.
4874. **[Ridge Boosting is Both Robust and Efficient ↗](https://doi.org/10.52202/085713-5632)**David Bruns-Smith, Zhongming Xie, Avi Feller
4875. **[RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models ↗](https://doi.org/10.52202/085713-1170)**Junda Zhu, Jun Ai, Yujun Li et al.
4876. **[Riemannian Consistency Model ↗](https://doi.org/10.52202/085713-2698)**Chaoran Cheng, Yusong Wang, Yuxin Chen et al.
4877. **[Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds ↗](https://doi.org/10.52202/085713-3297)**Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
4878. **[Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction ↗](https://doi.org/10.52202/085713-0815)**Samuel Li, Pujith Kachana, Prajwal Chidananda et al.
4879. **[RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data ↗](https://doi.org/10.52202/085713-1543)**Wenchao Ma, Dario Kneubuehler, Maurice Chu et al.
4880. **[Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset ↗](https://doi.org/10.52202/085713-0524)**Jiahao Wu, Ming Hu, Yanxin Yang et al.
4881. **[Risk Bounds For Distributional Regression ↗](https://doi.org/10.52202/085713-1201)**Carlos Misael Madrid Padilla, Oscar Hernán Madrid Padilla, Sabyasachi Chatterjee
4882. **[Risk Management for Mitigating Benchmark Failure Modes: BenchRisk ↗](https://doi.org/10.52202/085713-3387)**Sean McGregor, Vassil Tashev, Armstrong Tita Foundjem et al.
4883. **[Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents ↗](https://doi.org/10.52202/085713-1250)**Jane H. Lee, Baturay Sağlam, Spyridon Pougkakiotis et al.
4884. **[Risk-Averse Total-Reward Reinforcement Learning ↗](https://doi.org/10.52202/085713-3117)**Xihong Su, Jia Lin Hau, Gersi Doko et al.
4885. **[Risk-aware Direct Preference Optimization under Nested Risk Measure ↗](https://doi.org/10.52202/085713-2466)**Lijun Zhang, Lin Li, Yuning Qi et al.
4886. **[RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting ↗](https://doi.org/10.52202/085713-4446)**Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan J Kollet et al.
4887. **[RoFt-Mol: Benchmarking Robust Fine-tuning with Molecular Graph Foundation Models ↗](https://doi.org/10.52202/085713-0025)**Shikun Liu, Deyu Zou, Nima Shoghi et al.
4888. **[RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing ↗](https://doi.org/10.52202/085713-0146)**Fengxiang Wang, Yulin Wang, Mingshuo Chen et al.
4889. **[RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains ↗](https://doi.org/10.52202/085713-1131)**Tianle Pu, Zijie Geng, Haoyang Liu et al.
4890. **[RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models ↗](https://doi.org/10.52202/085713-1100)**Yingsha Xie, Rui Min, Zeyu Qin et al.
4891. **[RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo ↗](https://doi.org/10.52202/085713-1547)**Jueun Ko, Hyewon Park, Hyesong Choi et al.
4892. **[Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics ↗](https://doi.org/10.52202/085713-5392)**Dongyoung Kim, Sumin Park, Huiwon Jang et al.
4893. **[RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills ↗](https://doi.org/10.52202/085713-3684)**Chunru Lin, Haotian Yuan, Yian Wang et al.
4894. **[Robust Contextual Pricing ↗](https://doi.org/10.52202/085713-2795)**Anupam Gupta, Guru Guruganesh, Renato Paes Leme et al.
4895. **[Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding ↗](https://doi.org/10.52202/085713-1640)**Yanglin Feng, Hongyuan Zhu, Dezhong Peng et al.
4896. **[Robust Distortion-Free Watermark for Autoregressive Audio Generation Models ↗](https://doi.org/10.52202/085713-3677)**Yihan Wu, Georgios Milis, Ruibo Chen et al.
4897. **[Robust Ego-Exo Correspondence with Long-Term Memory ↗](https://doi.org/10.52202/085713-0812)**Yijun Hu, Bing Fan, Xin Gu et al.
4898. **[Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention ↗](https://doi.org/10.52202/085713-5395)**Haijing Liu, Zhiyuan Song, Hefeng Wu et al.
4899. **[Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness ↗](https://doi.org/10.52202/085713-0276)**Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
4900. **[Robust Estimation Under Heterogeneous Corruption Rates ↗](https://doi.org/10.52202/085713-3569)**Syomantak Chaudhuri, Jerry Li, Thomas A. Courtade

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